Fuzzy Active Disturbance Rejection-Based Virtual Inertia Control Strategy for Wind Farms
Tai Li,
Yanbo Wang (),
Sunan Sun,
Huimin Qian,
Leqiu Wang,
Lei Wang,
Yanxia Shen and
Zhicheng Ji
Additional contact information
Tai Li: School of Automation, Wuxi University, Wuxi 214105, China
Yanbo Wang: Department of Energy Technology, Aalborg University, 22222 Aalborg, Denmark
Sunan Sun: College of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Huimin Qian: College of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Leqiu Wang: School of Automation, Wuxi University, Wuxi 214105, China
Lei Wang: School of Automation, Wuxi University, Wuxi 214105, China
Yanxia Shen: School of Internet of Things Engineering, Jiangnan University, Wuxi 214112, China
Zhicheng Ji: School of Internet of Things Engineering, Jiangnan University, Wuxi 214112, China
Energies, 2023, vol. 16, issue 10, 1-16
Abstract:
This paper presents an advanced virtual inertia control strategy for wind farms to provide transient power support in the presence of frequency events, where a fuzzy active disturbance rejection controller is developed to enable the operation of an energy storage system (ESS) so as to provide support for frequency regulation of the power grid. To effectively estimate the system frequency under uncertain noises, fuzzy rules are presented to adaptively tune the parameters of the extended state observer and to realize the power-sharing, to improve the anti-interference ability of the wind power system. Finally, simulation analysis in MATLAB/Simulink is provided to validate the effectiveness of the proposed control strategy. Simulation results show that the developed virtual inertia control strategy based on fuzzy active disturbance rejection control has a good inertia support capability. In addition, the proposed method is able to improve the anti-noise capability of the wind power system.
Keywords: wind farm; inertia support; fuzzy rules; active disturbance rejection control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/10/3991/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/10/3991/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:10:p:3991-:d:1142871
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().